fragmentary sample; defective sample

简明释义

残缺样本

英英释义

例句

1.The research team analyzed the fragmentary sample to understand the historical context of the artifacts found at the site.

研究小组分析了碎片样本以了解在该地点发现的文物的历史背景。

2.Due to the defective sample, the quality control department had to reject the entire batch of products.

由于缺陷样本，质量控制部门不得不拒绝整批产品。

3.In paleontology, a fragmentary sample can still provide valuable insights into extinct species.

在古生物学中，碎片样本仍然可以提供关于灭绝物种的宝贵见解。

4.Researchers often work with fragmentary samples when studying ancient texts that have not survived intact.

研究人员在研究未完整保存的古代文本时，常常使用碎片样本。

5.The defective sample was sent back to the manufacturer for further investigation.

该缺陷样本被退回给制造商以进行进一步调查。

作文

In the realm of scientific research and quality control, the terms fragmentary sample and defective sample hold significant importance. A fragmentary sample refers to a sample that is incomplete or consists of only a part of the whole. This type of sample can arise from various circumstances, such as when only a portion of a larger dataset is available due to limitations in data collection methods or when samples are lost or damaged during the research process. On the other hand, a defective sample indicates a sample that possesses flaws or imperfections, rendering it unsuitable for accurate analysis or testing. Understanding these concepts is crucial for researchers and quality assurance professionals alike.The implications of working with fragmentary samples can be profound. For instance, if a researcher is studying a particular phenomenon but only has access to a fragmentary sample, the conclusions drawn may not accurately reflect the reality of the entire population. This can lead to misguided theories and ineffective solutions. In fields such as medicine, relying on fragmentary samples could result in incorrect diagnoses and treatments, ultimately harming patients. Therefore, it is essential for researchers to strive for comprehensive data collection and to acknowledge the limitations posed by fragmentary samples.Similarly, the presence of defective samples in any testing process can compromise the integrity of results. For example, in manufacturing, if a company tests the durability of a product using a defective sample, the results may indicate that the product is more robust than it actually is. This misrepresentation can lead to faulty products reaching consumers, which can damage the company's reputation and pose safety risks. Thus, identifying and eliminating defective samples is vital in maintaining quality standards and ensuring consumer safety.To mitigate the issues associated with fragmentary samples and defective samples, researchers and professionals must implement rigorous sampling methods and quality control procedures. For fragmentary samples, this may involve using statistical techniques to estimate the missing data or employing advanced methodologies to gather a more representative sample. Additionally, conducting thorough inspections and employing strict quality assurance protocols can help identify defective samples before they enter the testing phase.Furthermore, education and training play a critical role in enhancing awareness about the significance of these concepts. By equipping researchers and industry professionals with the knowledge of how to deal with fragmentary samples and defective samples, organizations can improve their overall research quality and product reliability. Workshops, seminars, and practical training sessions can foster a deeper understanding of the challenges posed by incomplete or flawed samples, enabling individuals to develop effective strategies for overcoming these obstacles.In conclusion, the terms fragmentary sample and defective sample are crucial in various fields, particularly in research and quality control. The impact of these types of samples can significantly influence the outcomes of studies and the quality of products. By recognizing the importance of comprehensive sampling and rigorous quality checks, professionals can enhance their work's reliability and accuracy. Ultimately, addressing the challenges posed by fragmentary samples and defective samples is essential for advancing knowledge and ensuring safety in our society.

在科学研究和质量控制的领域中，术语fragmentary sample和defective sample具有重要意义。fragmentary sample指的是一个不完整的样本，或者只包含整体的一部分。这种样本可能由于各种情况而产生，例如由于数据收集方法的限制，只有一部分较大数据集可用，或者样本在研究过程中丢失或损坏。另一方面，defective sample表示一个存在缺陷或瑕疵的样本，使其不适合进行准确的分析或测试。理解这些概念对研究人员和质量保证专业人士来说至关重要。使用fragmentary samples的影响可能是深远的。例如，如果一位研究者正在研究某个现象，但仅能访问fragmentary sample，那么得出的结论可能无法准确反映整个群体的现实。这可能导致误导性的理论和无效的解决方案。在医学等领域，依赖fragmentary samples可能会导致错误的诊断和治疗，最终危害患者。因此，研究人员必须努力进行全面的数据收集，并承认fragmentary samples所带来的限制。同样，在任何测试过程中存在defective samples也会损害结果的完整性。例如，在制造业中，如果一家公司使用defective sample来测试产品的耐用性，结果可能表明该产品比实际更坚固。这种误表述可能导致有缺陷的产品流入消费者手中，从而损害公司的声誉并构成安全风险。因此，识别和消除defective samples对于维护质量标准和确保消费者安全至关重要。为了减轻与fragmentary samples和defective samples相关的问题，研究人员和专业人士必须实施严格的采样方法和质量控制程序。对于fragmentary samples，这可能涉及使用统计技术来估计缺失的数据，或采用先进的方法来收集更具代表性的样本。此外，进行彻底检查并实施严格的质量保证协议可以帮助在测试阶段之前识别defective samples。此外，教育和培训在提高对这些概念重要性的认识方面发挥着关键作用。通过使研究人员和行业专业人士掌握如何处理fragmentary samples和defective samples的知识，组织可以提高整体研究质量和产品可靠性。研讨会、讲座和实践培训课程可以促进对不完整或有缺陷的样本所带来的挑战的更深入理解，从而使个人能够制定有效的应对策略。总之，术语fragmentary sample和defective sample在各个领域中都至关重要，特别是在研究和质量控制中。这些样本类型的影响可能显著影响研究结果和产品质量。通过认识到全面采样和严格质量检查的重要性，专业人员可以提高其工作的可靠性和准确性。最终，解决fragmentary samples和defective samples所带来的挑战对于推动知识进步和确保我们社会的安全至关重要。